CN102749102B - A kind of data visualization method for high power fuel cell - Google Patents
A kind of data visualization method for high power fuel cell Download PDFInfo
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- CN102749102B CN102749102B CN201210237630.1A CN201210237630A CN102749102B CN 102749102 B CN102749102 B CN 102749102B CN 201210237630 A CN201210237630 A CN 201210237630A CN 102749102 B CN102749102 B CN 102749102B
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Abstract
The invention discloses a kind of data visualization method for high power fuel cell, there are following steps: S100 is parameters sensor on each selected individual battery cells; S200. the discrete data that the parameter sensors on each individual battery cells gathers at start time point is received; S300. the discrete data that the parameter sensors of each described individual battery cells collects at start time point is brought in the function of selected color model as parameter, generate the color of each individual battery cells described in start time point.A kind of data visualization method for high power fuel cell provided by the invention, add one data analysing method efficiently, can know that showing same type parameter intuitively accompanies time dependent trend and difference, the change difference of numerous parameter with the time can also be expressed by the width increasing image simultaneously.
Description
Technical field
The present invention relates to a kind of data visualization method, particularly relate to a kind of data visualization method of high power fuel cell.
Background technology
Fuel cell generally adopt multiple individual battery cells be together in series generating mode.Special in high power fuel cell system, often need hundreds of thousand and even ten thousand individual unit to be worked by the mode of circuit connected in series, parallel connection or series-parallel connection simultaneously.Because the anode of fuel cell and negative electrode need supply nutriment and oxide simultaneously, as hydrogen and air, therefore in course of reaction, the voltage condition of each unit may not necessarily be completely the same.Therefore, in high power fuel cell power generation project and use procedure, often for each joint, one and even several sensor all can be set, as the sensor such as voltage sensor, temperature, pressure.Data analysis the simplest and intuitively mode be exactly the visual of data, and the visual means factor that to be an impact analysis result important.
Owing to being completely independently between the same token state data of above-mentioned each individual battery cells, or non-linear existence, therefore, it is more difficult for realizing the visual of huge data volume.At present, fuel cell data is visual mainly carries out in the mode of loose some line or many lines superposition contrast.And this is for the situation of mass data, be but difficult to express clearly.The work contrast simultaneously worked long hours for same fuel cell is also be difficult to represent detail section wherein.
Summary of the invention
The present invention is directed to the proposition of above problem, and a kind of data visualization method for high power fuel cell of development, there are following steps:
S100. select the individual battery cells of some in high power fuel cell, each selected individual battery cells arranges the parameter sensors of identical type;
S200. selected start time point, receives the discrete data that the parameter sensors on each individual battery cells gathers at start time point;
S300. the discrete data that the parameter sensors of each described individual battery cells collects at start time point is brought in the function of selected color model as parameter, generate the color that described in start time point, described in each individual battery cells, type parameter is corresponding; Apply described color and set up color block corresponding to each individual battery cells;
S400. from described start time point, set a time period with multiple time point, repeat step S200-S300 by the countershaft arrangement on time of the color block of the different time points of each individual battery cells within the described time period; Draw in this time period the visualize color block figure comprising selected all individual battery cells color block.
The parameter sensors arranged in described step S100 is voltage sensor, current sensor or air pressure probe.
Color model described in described step S200 is RGB model, and model parameter is (X, Y, Z), for the discrete parameter data α of any one selected individual battery cells, uses function
1/3α→X；1/3α→Y；1/3α→Z
In formula: described X, Y, Z represent the assignment of color three-dimensional corresponding in RGB model respectively;
Obtain the colouring information of this individual battery cells RGB model.
In described step S300, the mapping relations of supplemental characteristic and color can by artificially setting.In the described visualize color block figure generated, each color block is measure-alike.
Owing to have employed technique scheme, a kind of data visualization method for high power fuel cell provided by the invention, add one data analysing method efficiently, can know that showing same type parameter intuitively accompanies time dependent trend and difference, the change difference of numerous parameter with the time can also be expressed by the width increasing image simultaneously.By being connected with the interface of image analysis software, using image analysis software to analyze visual image, conveniently can position trace analysis to the data of exception.
Accompanying drawing explanation
In order to the technical scheme of clearer explanation embodiments of the invention or prior art, introduce doing one to the accompanying drawing used required in embodiment or description of the prior art simply below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is process flow diagram of the present invention
Fig. 2 is the fuel cell visualization result schematic diagram of embodiment 1
Embodiment
For making the object of embodiments of the invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, clear complete description is carried out to the technical scheme in the embodiment of the present invention:
As Fig. 1:
For a data visualization method for high power fuel cell, there are following steps:
S100. select in high power fuel cell to be measured all or the individual battery cells of some, each selected individual battery cells arranges same item shape parameter sensor: namely on selected multiple individual battery cells, set the consistent sensor of image data type, reach the situation showing same Parameters variation in a visualize color block figure.
The sensor that number of different types is set can be needed, such as voltage sensor, temperature sensor or temperature and pressure transmitter etc., to show data like inhomogeneity according to what monitor.
Further, multiple dissimilar sensor can be set on an individual battery cells, in visual process, only need control to switch display type, the visualized data of dissimilar such as voltage, electric current, pressure, flow, humidity, temperature etc. can be demonstrated.
S200. selected start time point, receive the discrete data that the parameter sensors on each individual battery cells gathers at start time point: in this step, in view of sampled data precision and demand precision, it is generally acknowledged that sampled data is all the discrete data on a certain interval.
S300. the discrete data that the parameter sensors of each described individual battery cells collects at start time point is brought in the function of selected color model as parameter, generate the color of each individual battery cells described in start time point; Apply described color and set up a color block corresponding to each individual battery cells.
Different color model can be selected in this step, different types of color model such as such as HSV, RGB, HSI, CHL, LAB, CMY etc., as a preferably embodiment, only need the discrete data collected be brought in the function of color model as the parameter of respective color model, the color corresponding to a parameter can be obtained.Utilize this color can draw the color block of any one selected certain size corresponding to individual battery cells running parameter in a time point.
As another preferably embodiment, also can the mapping relations of artificially setting data and color: by the data into numerical subregion collected, the specific color in each numerical subarea represents, calculate corresponding color with application color function similar, a corresponding color block can be formed equally.
S400. from described start time point, set a time period with multiple time point, repeat step S200-S300 by the countershaft arrangement on time of the color block of each individual battery cells different time points, form the color block figure of an individual battery cells; The color block figure of multiple individual battery cells is combined, makes the visualize color block figure of all individual battery cells color block in this time period, complete the visual of data.
Embodiment 1,
In the present embodiment, described parameter sensors is voltage sensor, and the color model used is RGB model, and the parameter of model is the ratio in (X, Y, Z) difference representative color shared by RGB color.
Choose pile and often economize on electricity pressure as visualized data object.Add up to 70 individual battery cells in analyzed system, object is the magnitudes of voltage of parallel display 70 individual battery cells at synchronization.
The scope of fuel battery voltage data is between 0-1.0, and setting accuracy is 0.001, namely adds up to 1001 discrete datas in this interval, appoints and gets one, this interval discrete value, represent with α.The mapping function used is 1/3 α → X; 1/3 α → Y; 1/3 α → Z.
Data ordering is that horizontal ordinate does not have the corresponding horizontally-arranged coordinate number of individual single-unit voltage with time, and color is magnitude of voltage.
As shown in Figure 2:
Horizontal ordinate is time coordinate, the corresponding each individual battery cells of ordinate.Color corresponding voltage value.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (3)
1., for a data visualization method for high power fuel cell, it is characterized in that there are following steps:
S100. select the individual battery cells of some in high power fuel cell, each selected individual battery cells arranges the parameter sensors of identical type;
S200. selected start time point, receives the discrete data that the parameter sensors on each individual battery cells gathers at start time point;
S300. the discrete data that the parameter sensors of each described individual battery cells collects at start time point is brought in the function of selected color model as parameter, generate the color that described in start time point, described in each individual battery cells, type parameter is corresponding; Apply described color and set up color block corresponding to each individual battery cells;
S400. from described start time point, set a time period with multiple time point, repeat step S200-S300 by the countershaft arrangement on time of the color block of the different time points of each individual battery cells within the described time period; Draw in this time period the visualize color block figure comprising selected all individual battery cells color block;
Color model described in described step S200 is RGB model, and model parameter is (X, Y, Z), for the discrete parameter data α of any one selected individual battery cells, uses function
1/3α→X；1/3α→Y；1/3α→Z
In formula: described X, Y, Z represent the assignment of color three-dimensional corresponding in RGB model respectively;
Obtain the colouring information of this individual battery cells RGB model;
The parameter sensors arranged in described step S100 is voltage sensor, current sensor, pressure transducer, temperature sensor, concentration sensor, humidity/relative humidity sensor, volume flow sensor, mass flow sensor or flow sensor;
Also there is step S500: by setting the consistent sensor of image data type on selected multiple individual battery cells, reach the situation showing same Parameters variation in a visualize color block figure;
And, on an individual battery cells, multiple dissimilar sensor is set, in visual process, only need control to switch display type, dissimilar visualized data can be demonstrated;
Or, the change difference of numerous parameter with the time can also be expressed by the width increasing image simultaneously.
2. a kind of data visualization method for high power fuel cell according to claim 1, is further characterized in that: in described step S300, and the mapping relations of supplemental characteristic and color can by artificially setting.
3. a kind of data visualization method for high power fuel cell according to claim 1 and 2, is further characterized in that: in the described visualize color block figure of generation, each color block is measure-alike.
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| CN109947860B (en) * | 2017-10-27 | 2023-10-27 | 成都大超科技有限公司 | Electrolyte detection data management system and management method and application thereof |
| TWI718783B (en) * | 2019-11-28 | 2021-02-11 | 新普科技股份有限公司 | Method for establishing visual images of models of battery status |
| CN110967639A (en) * | 2019-12-10 | 2020-04-07 | 浙江万马新能源有限公司 | Technology for monitoring energy storage battery by utilizing big data |
| KR102216513B1 (en) * | 2019-12-20 | 2021-02-17 | 인하대학교 산학협력단 | Methods and Apparatus for Motor Deterioration Detection by Real-Time Motor Current Analysis |
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| US8866815B2 (en) * | 2007-05-23 | 2014-10-21 | Oracle International Corporation | Automated treemap configuration |
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| CN201859204U (en) * | 2010-06-22 | 2011-06-08 | 大连交通大学 | High-power fuel cell inspection system based on CAN bus technique |
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